IP Library Granted Patent US 9,870,001
Granted Patent B1
US 9,870,001 · App. 15/229,997 · Granted Jan 16, 2018

Automated vehicle operator skill evaluation system

Inventors: Nandita Mangal (Palo Alto, CA); Michael H. Laur (Mission Viejo, CA)
Assignee: Delphi Technologies, Inc.
G05D1/0061B60W50/08G05D1/0088B60W2550/12B60W2550/141B60W2550/20B60W2600/00
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Quick Facts
Patent No.
US 9,870,001
App. No.
15/229,997
Granted
Jan 16, 2018
Kind
B1
Abstract

An operator-evaluation system for an automated vehicle includes a traffic-detector and a controller. The traffic-detector is used to determine a complexity-ranking of a traffic-scenario approached by a host-vehicle. The controller is in communication with the traffic-detector and is configured to operate the host-vehicle in: an automated-mode where the controller steers the host-vehicle toward a desired-position of a travel-lane; a monitored-mode where an operator steers the host-vehicle and the controller assists the operator to steer the host-vehicle toward the desired-position when the host-vehicle is farther than a lateral-threshold from the desired-position; and a manual-mode where the operator steers the host-vehicle without assistance from the controller. The controller transitions from the automated-mode to the monitored-mode prior to arrival at the traffic-scenario to determine a skill-ranking of the operator relative to the complexity-ranking, and transitions from the automated-mode to the manual-mode when the complexity-ranking is less than the skill-ranking of the operator.

Claims (13)

1. An operator-evaluation system for an automated vehicle, said system comprising:

a traffic-detector used to determine a complexity-ranking of a traffic-scenario approached by a host-vehicle;

a controller in communication with the traffic-detector and configured to operate the host-vehicle in

an automated-mode wherein the controller steers the host-vehicle toward a desired-position of a travel-lane,

a monitored-mode wherein an operator steers the host-vehicle and the controller assists the operator to steer the host-vehicle toward the desired-position when the host-vehicle is farther than a lateral-threshold from the desired-position, and

a manual-mode wherein the operator steers the host-vehicle without assistance from the controller when the controller is unable to navigate the traffic-scenario, wherein

said controller transitions from the automated-mode to the monitored-mode prior to arrival at the traffic-scenario to determine a skill-ranking of the operator relative to the complexity-ranking, and transitions from the automated-mode to the manual-mode when the complexity-ranking is not greater than the skill-ranking of the operator.

2. The system in accordance with claim 1 , wherein the controller operates the host-vehicle in the automated-mode to bypass the traffic-scenario when the complexity-ranking is greater than the skill-ranking of the operator.

3. The system in accordance with claim 1 , wherein the controller operates the host-vehicle in the monitored-mode to update the skill-ranking when a present-ranking of the operator is less than the complexity-ranking of the traffic-scenario approached by the host-vehicle.

4. The system in accordance with claim 1 , wherein the controller increases the skill-ranking when operator steers the host-vehicle to less than the lateral-threshold from the desired-position, and decreases the skill-ranking when operator steers the host-vehicle to not less than the lateral-threshold from the desired-position.

5. The system in accordance with claim 1 , wherein the complexity-ranking is determined based on one of a traffic-density, a traffic-speed, a weather-condition, a lane-maneuver, a speed-change, and a road-type.

6. The system in accordance with claim 1 , wherein the controller allows operation of the host-vehicle to transition from the manual-mode to the automated-mode when the complexity-ranking of the traffic-scenario is not greater than a confidence-ranking of the controller.

7. The system in accordance with claim 6 , wherein the confidence-ranking is determined based on one of a lane-marking-quality, an object-tracking-persistence, and a global-position-accuracy.

Assignments (5)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 11, 2024
From: APTIV MANUFACTURING MANAGEMENT SERVICES S.À R.L.
To: APTIV TECHNOLOGIES AG
Reel/Frame 066551/0219 →
MERGER Recorded Feb 11, 2024
From: APTIV TECHNOLOGIES (2) S.À R.L.
To: APTIV MANUFACTURING MANAGEMENT SERVICES S.À R.L.
Reel/Frame 066566/0173 →
ENTITY CONVERSION Recorded Feb 11, 2024
From: APTIV TECHNOLOGIES LIMITED
To: APTIV TECHNOLOGIES (2) S.À R.L.
Reel/Frame 066746/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 25, 2018
From: DELPHI TECHNOLOGIES INC.
To: APTIV TECHNOLOGIES LIMITED
Reel/Frame 047143/0874 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 5, 2016
From: MANGAL, NANDITA; LAUR, MICHAEL H.
To: DELPHI TECHNOLOGIES, INC.
Reel/Frame 039357/0522 →